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Early experience with a patient-facing AI chatbot integrated in a patient portal
Ming Tai-Seale1,2, Marlene Millen1,2, Florin Vaida3
1University of California San Diego School of Medicine, La Jolla, CA, United States.
Background And Significance:
Many patients struggle to interpret lab and test results.
Objective:
To evaluate patient experience, usability, and intention to reuse an AI assistant integrated into a patient portal's test results interface, aimed at enhancing patient comprehension of laboratory and diagnostic findings.
Methods:
A cross-sectional study with 131 adults using a non-production portal instance. Participants accessed their lab results via the embedded AI assistant and completed a post-use survey. Outcomes included System Usability Scale (SUS), reuse intention (5-point Likert), and Net Promoter Score (NPS). Multivariable regression examined associations of outcomes with patient characteristics.
Results:
Mean SUS was 81.0 (SD 16.1). Most participants (76.9%) were very or extremely likely to reuse (mean 4.1/5.0). NPS was 43.9%. Higher reuse intention was significantly associated with more diagnoses [mean difference = 0.017, 95% CI (0.002, 0.032), p = .032].
Conclusions:
A secure, portal-integrated AI assistant showed strong usability and satisfaction, particularly among patients with greater comorbidity.
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